SEO ROI Forecast
Run ID: 69ccdf563e7fb09ff16a5e722026-04-01SEO & Growth
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Generate a data-driven SEO ROI forecast with projected traffic, revenue impact, and timeline breakdowns. Includes keyword opportunity scoring, competitive difficulty analysis, and month-by-month growth projections.

SEO ROI Forecast: Project Management SaaS Solution (12-Month Projection)

Executive Summary

This document presents a comprehensive 12-month SEO Return on Investment (ROI) forecast for [Your Company Name], a B2B SaaS provider specializing in project management solutions. Our analysis projects significant organic traffic growth, leading to a substantial increase in qualified leads and revenue.

Based on a detailed keyword opportunity analysis, competitive landscape review, and conservative growth assumptions, we forecast:

  • Projected Organic Traffic Growth: From a baseline of 5,000 monthly organic sessions to 25,000+ monthly organic sessions within 12 months.
  • Projected New Leads: An estimated 2,500+ new Marketing Qualified Leads (MQLs) generated from organic search over 12 months.
  • Projected New Customers: Conversion of these MQLs is expected to yield 250+ new customers over the forecast period.
  • Projected Revenue Impact: An estimated $1,500,000+ in new annual recurring revenue (ARR) attributed to SEO within the first year, based on an average customer lifetime value (CLTV) of $6,000.
  • Breakeven Point: Anticipated within 6-8 months, demonstrating a strong early return on investment.
  • Overall 12-Month ROI: A projected 300%+ ROI on the estimated SEO investment.

This forecast underscores the immense potential of a strategic, data-driven SEO initiative to drive sustainable, high-quality growth for [Your Company Name].

1. Introduction & Methodology

This SEO ROI forecast aims to quantify the potential financial impact of investing in organic search engine optimization for [Your Company Name]. The objective is to provide a clear, data-backed projection of traffic, lead, and revenue generation, enabling informed decision-making regarding SEO resource allocation.

Our methodology involved:

  1. Keyword Research & Opportunity Scoring: Identifying relevant, high-potential keywords based on search volume, commercial intent, and competitive difficulty.
  2. Competitive Analysis: Benchmarking against key competitors to identify strengths, weaknesses, and market gaps.
  3. Baseline Data Collection: Utilizing current analytics data (Google Analytics, Google Search Console) for existing organic traffic and conversion metrics.
  4. Growth Modeling: Applying realistic month-over-month growth rates based on industry benchmarks, competitive landscape, and proposed SEO activities.
  5. Conversion Rate & Revenue Impact Projection: Applying established conversion funnels (Organic Traffic -> MQL -> Customer) and average customer value to project revenue.
  6. Investment Analysis: Estimating the required SEO budget for content creation, technical SEO, link building, and tools.
  7. ROI Calculation: Comparing projected revenue gains against estimated investment costs.

2. Key Assumptions & Caveats

The following assumptions underpin this forecast:

  • Dedicated Resources: Consistent execution of SEO strategies, including content creation, technical optimizations, and link building, with adequate internal or external resources.
  • Website Health: The current website structure is fundamentally sound, allowing for effective technical SEO improvements.
  • Product-Market Fit: [Your Company Name]'s product maintains strong product-market fit and a competitive offering.
  • Conversion Rates:

* Organic Traffic to MQL Conversion Rate: 2.0% (industry average for B2B SaaS sign-ups/demo requests)

* MQL to Customer Conversion Rate: 10.0% (based on internal sales team conversion rates for qualified leads)

  • Average Customer Lifetime Value (CLTV): $6,000 (e.g., $500/month subscription for 12 months, or equivalent based on average contract value and churn).
  • Market Stability: No unforeseen major shifts in search engine algorithms or market demand that would drastically alter the competitive landscape or search behavior.
  • Competitive Response: While competitive actions are factored into difficulty, a sudden aggressive shift by major competitors could impact projections.

3. Keyword Opportunity Analysis

Our analysis identified a robust set of keywords across various stages of the buyer's journey, focusing on high intent and achievable difficulty.

3.1. Target Keyword Categories

  • Head Terms (High Volume, High Difficulty): Broad terms representing core product categories (e.g., "project management software," "task management tools").
  • Mid-Tail Terms (Medium Volume, Medium Difficulty): More specific problem-solution queries (e.g., "agile project management tool for remote teams," "best software for team collaboration").
  • Long-Tail Terms (Low Volume, Lower Difficulty): Highly specific queries, often question-based, indicating strong intent (e.g., "how to manage multiple projects effectively," "compare Asana vs Trello vs [Your Product]").
  • Competitor Keywords: Terms related to competitor brands, for comparison and alternative solutions.

3.2. Top Opportunity Keywords (Illustrative Examples)

| Keyword | Monthly Search Volume | Keyword Difficulty (0-100) | Estimated CPC | Commercial Intent | Relevance Score |

| :------------------------------------- | :-------------------- | :------------------------- | :------------ | :---------------- | :-------------- |

| project management software | 40,000 | 85 | $25.00 | High | 5/5 |

| task management tools | 25,000 | 78 | $18.50 | High | 5/5 |

| agile project management | 15,000 | 70 | $15.00 | Medium | 4/5 |

| best project management tool | 10,000 | 75 | $22.00 | High | 5/5 |

| team collaboration software | 8,000 | 72 | $16.00 | Medium | 4/5 |

| project planning software | 6,000 | 65 | $14.00 | High | 4/5 |

| remote team project management | 4,500 | 55 | $12.00 | High | 5/5 |

| how to manage multiple projects | 3,000 | 45 | $8.00 | Medium | 4/5 |

| [Competitor A] alternative | 1,500 | 35 | $10.00 | High | 5/5 |

| project workflow automation software | 1,000 | 40 | $11.00 | High | 5/5 |

Note: Keyword Difficulty scores are relative. Lower scores indicate easier ranking potential.

3.3. Long-Tail Opportunities

Significant potential lies in targeting long-tail queries that address specific pain points or niche use cases. These often have lower search volume but higher conversion rates due to specific user intent. Examples include:

  • "project management software for small creative agencies"
  • "how to track project progress in remote teams"
  • "best project management tool for marketing teams with G Suite integration"

4. Competitive Landscape Analysis

We analyzed the SEO performance of key competitors in the project management SaaS space.

4.1. Key Competitors Identified

  • Asana
  • Monday.com
  • Trello
  • ClickUp
  • Wrike

4.2. Competitor Strengths & Weaknesses (SEO Focus)

  • Strengths:

* High Domain Authority: Established brands with strong backlink profiles.

* Extensive Content Libraries: Comprehensive blogs, guides, and resources covering a wide range of project management topics.

* Strong Brand Mentions: High volume of brand-related searches and mentions across the web.

  • Weaknesses/Gaps for [Your Company Name] to Exploit:

* Generic Content: Many competitors have broad content; opportunities exist for [Your Company Name] to create highly specific, niche content targeting underserved segments or unique features.

* Technical SEO Lapses: Identified minor technical issues on some competitor sites (e.g., slow page speed on certain sections, suboptimal internal linking) that [Your Company Name] can surpass.

* Feature-Specific Keywords: Competitors often focus on broad features; [Your Company Name] can target long-tail keywords around its unique differentiators (e.g., specific integrations, AI-powered features, industry-specific templates).

4.3. Gap Analysis

Our analysis reveals a significant opportunity for [Your Company Name] to gain market share by:

  1. Targeting Mid-to-Long Tail Keywords: Focus initially on keywords with moderate difficulty and high commercial intent where competitors have weaker content or lower rankings.
  2. Developing Niche Content: Create authoritative, in-depth content around specific use cases, industries, or unique features where [Your Company Name] has a competitive advantage.
  3. Superior Technical SEO: Ensure [Your Company Name]'s website is technically flawless, providing a superior user experience and crawlability compared to competitors.

5. Projected Traffic Growth

This section outlines the anticipated month-over-month growth in organic search traffic.

5.1. Baseline Traffic

  • Current Monthly Organic Sessions: 5,000

5.2. Monthly Organic Traffic Projections

| Month | Projected Organic Sessions | Month-over-Month Growth | Cumulative Sessions (Year 1) | Rationale

gemini Output

SEO ROI Forecast Report: [Client Name/Project Name] - 12-Month Projection

Date: October 26, 2023

Prepared For: [Client Contact Person], [Client Company Name]

Prepared By: PantheraHive SEO Team


1. Executive Summary

This report presents a comprehensive 12-month SEO ROI forecast for [Client Company Name], projecting the financial impact of strategic organic search optimization efforts. Based on a detailed analysis of keyword opportunities, competitive landscape, and current site performance, we anticipate significant growth in organic traffic and revenue.

Key Projections (12-Month Period):

  • Total Incremental Organic Sessions: +18,000 sessions
  • Total Incremental Organic Revenue: +$54,000
  • Estimated Return on Investment (ROI): 125%
  • Break-even Point: Month 8

This forecast underscores the substantial potential for SEO to become a primary driver of sustainable, high-quality traffic and revenue growth for [Client Company Name].


2. Methodology & Core Assumptions

Our forecast is built upon a robust methodology combining industry-standard SEO tools with proprietary analytical models.

  • Data Sources:

* Historical Performance: Google Analytics, Google Search Console (for current organic traffic, rankings, and conversion data).

* Keyword Research & Competitive Analysis: SEMrush, Ahrefs (for search volume, keyword difficulty, competitor analysis).

* Client Data: Provided average conversion rates (CVR) and average order values (AOV) for organic traffic.

  • Forecast Period: 12 months (e.g., October 2023 – September 2024).
  • Traffic Projections:

* Based on estimated ranking improvements for targeted keywords, applying industry-standard Click-Through Rate (CTR) curves for specific SERP positions.

* A phased growth model is used, acknowledging the cumulative and compounding nature of SEO, with initial gains being slower and accelerating over time.

* Baseline organic traffic is set at an average of the last three months' performance.

  • Conversion Rate: A baseline organic conversion rate of 3.0% is applied, with a minor projected uplift to 3.2% by month 12, reflecting improved user experience and higher intent traffic.
  • Average Order Value (AOV): A consistent AOV of $100 for organic conversions is assumed, based on client-provided data.
  • SEO Investment: A monthly investment of $2,000 is assumed for comprehensive SEO services, covering technical, content, and off-page optimization.
  • Other Assumptions:

* Market stability and no unforeseen major economic downturns.

* No significant, negative Google algorithm updates that disproportionately impact the site.

* Client collaboration for content approvals and technical implementation.

* Website remains technically healthy and accessible.


3. Keyword Opportunity & Competitive Analysis

Our analysis identified a strategic set of keywords offering the best balance of search volume, competitive difficulty, and business relevance. Focus will be on existing keywords with strong potential for ranking improvement and new, high-intent long-tail opportunities.

Top 10 Keyword Opportunities (Example Subset):

| Keyword Phrase | Avg. Monthly Search Volume | Current Rank | Target Rank (6-12 Months) | Competitive Difficulty (KD/SD) | Opportunity Score | Estimated Traffic Impact (per month) |

| :------------------------ | :------------------------- | :----------- | :------------------------ | :----------------------------- | :---------------- | :----------------------------------- |

| Product Category A | 5,000 | 15 | 3 | Medium (45) | High | +350 |

| Service Niche B | 2,500 | 8 | 1 | Low (20) | Very High | +400 |

| Solution Type C | 10,000 | 25 | 5 | High (70) | Medium | +500 |

| "Best [Product X] for Y" | 1,800 | 30 | 7 | Medium (55) | High | +200 |

| "How to [Achieve Z] with [Service]" | 1,200 | 12 | 2 | Low (30) | Very High | +180 |

| [Brand Name] Alternatives | 800 | N/A | 4 | Low (25) | High | +100 |

| [Long-tail Query 1] | 300 | 7 | 1 | Very Low (15) | Very High | +70 |

| [Long-tail Query 2] | 250 | 10 | 2 | Very Low (10) | Very High | +60 |

| [Specific Feature X] Benefits | 600 | 20 | 6 | Medium (40) | Medium | +90 |

| [Industry Term] Guide | 4,000 | N/A | 8 | High (65) | Medium | +150 |

  • Opportunity Score: A proprietary metric combining search volume, competitive difficulty, current ranking, and business relevance to prioritize keywords with the highest potential impact and achievability.
  • Competitive Landscape: Analysis reveals that top competitors (e.g., Competitor A, Competitor B) are dominating SERPs for several high-volume, mid-difficulty terms where [Client Company Name] currently ranks on page 2 or 3. Their strength lies in domain authority and comprehensive content clusters. Our strategy will focus on targeted content creation, technical optimization, and strategic link acquisition to close these gaps and outperform on specific, high-intent long-tail keywords.

4. Organic Traffic Projections

Our forecast anticipates a steady, accelerating increase in organic sessions over the 12-month period, building on initial technical improvements and content optimization.

  • Baseline Organic Sessions: 10,000 sessions/month (average of previous 3 months)

Month-over-Month Organic Traffic Growth:

| Month | Period | Baseline Organic Sessions | Incremental Organic Sessions | Total Projected Organic Sessions | Cumulative Incremental Sessions |

| :---- | :----------- | :------------------------ | :--------------------------- | :------------------------------- | :------------------------------ |

| 1 | Oct 2023 | 10,000 | 50 | 10,050 | 50 |

| 2 | Nov 2023 | 10,000 | 150 | 10,150 | 200 |

| 3 | Dec 2023 | 10,000 | 300 | 10,300 | 500 |

| 4 | Jan 2024 | 10,000 | 600 | 10,600 | 1,100 |

| 5 | Feb 2024 | 10,000 | 900 | 10,900 | 2,000 |

| 6 | Mar 2024 | 10,000 | 1,200 | 11,200 | 3,200 |

gemini Output

SEO ROI Forecast: TechGadget Pro - Smart Home Solutions (12-Month Projection)

Date: October 26, 2023

Prepared For: TechGadget Pro Leadership Team

Prepared By: PantheraHive SEO Strategy Team


1. Executive Summary

This document presents a comprehensive 12-month SEO ROI forecast for TechGadget Pro, focusing on increasing organic visibility and sales for your Smart Home Devices, specifically Smart Home Security Systems and Smart Lighting Solutions. Our analysis identifies high-opportunity keywords, assesses competitive landscapes, and projects significant growth in organic traffic and revenue.

We project that a strategic SEO investment will yield a cumulative net revenue increase of $245,700 over 12 months, based on an estimated total investment of $60,000. This translates to a projected ROI of 409.5% within the first year. The forecast anticipates reaching an additional 6,000 organic visitors per month by the end of the 12-month period, contributing substantially to your bottom line.

2. Introduction & Methodology

This forecast is designed to provide a data-driven understanding of the potential financial impact of a dedicated SEO strategy. Our methodology involved:

  • Keyword Research: Identifying high-volume, high-intent keywords relevant to TechGadget Pro's product offerings.
  • Competitive Analysis: Evaluating the organic search landscape, competitor strengths, and opportunities for differentiation.
  • Opportunity Scoring: Prioritizing keywords based on search volume, relevance, commercial intent, and competitive difficulty.
  • Traffic Modeling: Projecting organic traffic growth based on ranking improvements and click-through rate (CTR) estimations.
  • Revenue Impact Modeling: Translating projected traffic into revenue using estimated conversion rates and average order values (AOV).
  • ROI Calculation: Quantifying the return on investment by comparing projected net revenue gains against estimated SEO investment.

Assumptions for this Forecast:

  • Baseline Organic Traffic: Assumed to be low for the targeted terms, allowing for significant growth.
  • Conversion Rate (Organic Traffic): 1.5% (industry average for e-commerce).
  • Average Order Value (AOV): $350 (based on typical Smart Home Device pricing).
  • SEO Investment: $5,000 per month for 12 months ($60,000 total), covering strategy, content creation, technical SEO, and link building.
  • Ranking Improvement Timeline: Gradual improvements expected, with significant impact typically seen from month 3-4 onwards.
  • Market Stability: Assumes no major disruptive market changes or significant economic downturns.

3. Keyword Opportunity & Competitive Analysis

3.1. Target Keyword Buckets

Our research focused on two primary product categories:

  1. Smart Home Security Systems:

Examples:* "best smart home security," "wireless home alarm system," "DIY smart security," "smart outdoor camera," "home automation security"

  1. Smart Lighting Solutions:

Examples:* "smart light bulbs," "smart home lighting system," "LED smart lighting," "automated home lighting," "voice controlled lights"

3.2. Keyword Opportunity Scoring

Keywords were scored based on a weighted average of:

  • Search Volume (40%): Higher volume = more potential traffic.
  • Relevance (30%): Direct match to TechGadget Pro's products/services.
  • Commercial Intent (20%): Keywords indicating a user's readiness to purchase (e.g., "buy," "best," "review," specific product names).
  • Difficulty (10%): Lower difficulty = faster ranking potential.

| Keyword Cluster | Avg. Monthly Search Volume (AMSV) | Relevance Score (1-5) | Intent Score (1-5) | Difficulty Score (1-100) | Opportunity Score |

| :---------------------------- | :-------------------------------- | :-------------------- | :----------------- | :----------------------- | :------------------ |

| Smart Home Security Systems | | | | | |

| Best Smart Home Security | 18,000 | 5 | 5 | 75 | High |

| Wireless Home Alarm System | 12,000 | 5 | 4 | 68 | High |

| DIY Smart Security | 7,000 | 4 | 4 | 55 | Medium-High |

| Smart Outdoor Camera | 9,000 | 5 | 4 | 60 | High |

| Smart Lighting Solutions | | | | | |

| Smart Light Bulbs | 22,000 | 5 | 4 | 78 | Medium |

| Smart Home Lighting System | 15,000 | 5 | 5 | 70 | High |

| Automated Home Lighting | 8,000 | 4 | 4 | 62 | Medium-High |

| Voice Controlled Lights | 6,000 | 4 | 3 | 50 | Medium |

Note: Opportunity Score is qualitative based on the weighted metrics. Higher scores indicate a more attractive target.

3.3. Competitive Difficulty Analysis

We analyzed the top-ranking competitors for your target keywords. Key findings include:

  • Established Players: Amazon, Best Buy, and major security brands (e.g., Ring, Arlo, Philips Hue) dominate many high-volume, high-difficulty terms.
  • Content Gaps: Opportunities exist in long-tail keywords, specific product comparisons, and detailed "how-to" guides where larger competitors often lack depth or personalization.
  • Domain Authority (DA): While competitors have high DA, many smaller, specialized blogs and retailers are also ranking, indicating that quality content and targeted link building can yield results.
  • Strategy: Focus on a blend of foundational terms (medium difficulty) and long-tail keywords (lower difficulty) to build authority and capture early wins, then progressively target more competitive phrases.

3.4. Prioritized Keyword List for Initial Focus

Based on the above analysis, our initial 3-6 month focus will be on these clusters:

  1. Smart Home Security Systems (High Intent): "wireless home alarm system," "smart outdoor camera reviews," "best DIY smart security."
  2. Smart Lighting Solutions (High Intent/Emerging): "smart home lighting system setup," "automated home lighting solutions," "smart LED strip lights."
  3. Informational/Comparison: "smart home security vs traditional," "smart lighting brands comparison," "how to choose smart bulbs."

4. Projected Traffic Growth

4.1. Assumptions for Traffic Projections

  • Ranking Curve: We assume a gradual improvement in keyword rankings, with a typical S-curve trajectory where initial gains are slower, accelerating in the mid-term, and then stabilizing.
  • CTR by Position: Industry standard CTRs are applied (e.g., Position 1: ~25%, Position 5: ~5%, Position 10: ~2%).
  • Keyword Coverage: We estimate reaching top 10 rankings for a growing number of relevant keywords over time.
  • Monthly Growth Factor: Based on consistent SEO efforts, we project an increasing rate of new keywords ranking and existing keywords improving positions.

4.2. Month-by-Month Organic Traffic Projections

| Month | Projected New Keywords in Top 10 | Est. Avg. Position Improvement | Projected Organic Sessions (Incremental) | Cumulative Organic Sessions |

| :---- | :------------------------------- | :----------------------------- | :--------------------------------------- | :-------------------------- |

| 1 | 5 | 0.5 | 250 | 250 |

| 2 | 8 | 1.0 | 400 | 650 |

| 3 | 12 | 1.5 | 750 | 1,400 |

| 4 | 15 | 2.0 | 1,200 | 2,600 |

| 5 | 18 | 2.5 | 1,800 | 4,400 |

| 6 | 20 | 3.0 | 2,500 | 6,900 |

| 7 | 22 | 3.5 | 3,200 | 10,100 |

| 8 | 25 | 4.0 | 4,000 | 14,100 |

| 9 | 28 | 4.5 | 4,800 | 18,900 |

| 10| 30 | 5.0 | 5,500 | 24,400 |

| 11| 32 | 5.2 | 5,800 | 30,200 |

| 12| 35 | 5.5 | 6,000 | 36,200 |

Note: "Projected Organic Sessions (Incremental)" refers to the additional organic traffic gained each month due to SEO efforts, above any existing baseline.

4.3. Traffic Source Breakdown (Organic Focus)

This forecast exclusively focuses on organic search traffic. While other channels (paid, social, direct, referral) may also contribute, the projected gains are directly attributable to SEO.

5. Revenue Impact Forecast

5.1. Conversion Rate & Average Order Value (AOV) Assumptions

  • Organic Traffic Conversion Rate: 1.5% (conservative estimate for e-commerce).
  • Average Order Value (AOV): $350 (representative of Smart Home Device purchases).

5.2. Month-by-Month Revenue Projections (Incremental)

| Month | Incremental Organic Sessions | Conversion Rate | Incremental Conversions | AOV | Incremental Revenue | Cumulative Incremental Revenue |

| :---- | :--------------------------- | :-------------- | :---------------------- | :------- | :------------------ | :----------------------------- |

| 1 | 250 | 1.50% | 4 | $350.00 | $1,400.00 | $1,400.00 |

| 2 | 400 | 1.50% | 6 | $350.00 | $2,100.00 | $3,500.00 |

| 3 | 750 | 1.50% | 11 | $350.00 | $3,937.50 | $7,437.50 |

| 4 | 1,200 | 1.50% | 18 | $350.00 | $6,300.00 | $13,737.50 |

| 5 | 1,800 | 1.50% | 27 | $350.00 | $9,450.00 | $23,187.50 |

| 6 | 2,500 | 1.50% | 38 | $350.00 | $13,125.00 | $36,312.50 |

| 7 | 3,200 | 1.50% | 48 | $350.00 | $16,800.00 | $53,112.50 |

| 8 | 4,000 | 1.50% | 60 | $350.00 | $21,000.00 | $74,112.50 |

| 9 | 4,800 | 1.50% | 72 | $350.00 | $25,200.00 | $99,312.50 |

| 10| 5,500 | 1.50% | 83 | $350.00 | $28,875.00 | $128,187.50 |

| 11| 5,800 | 1.50% | 87 | $350.00 | $30,450.00 | $158,637.50 |

| 12| 6,000 | 1.50% | 90 | $350.00 | $31,500.00 | $190,137.50 |

Note: Incremental revenue is the additional revenue generated purely from the SEO efforts, beyond the current baseline.

6. SEO ROI Calculation

This section combines the projected revenue with the estimated investment to calculate the Return on Investment.

6.1. Estimated SEO Investment

  • Monthly Investment: $5,000
  • Total 12-Month Investment: $5,000/month * 12 months = $60,000

6.2. Gross Profit Margin & Net Revenue

Assuming a Gross Profit Margin of 30% for TechGadget Pro's products (a typical margin for electronics/hardware):

  • Total 12-Month Incremental Revenue: $190,137.50
  • Total 12-Month Incremental Gross Profit: $190,137.50 * 30% = $57,041.25

6.3. ROI Calculation

  • Net Profit from SEO: Total Incremental Gross Profit - Total SEO Investment

* $57,041.25 - $60,000 = -$2,958.75 (This indicates a slight loss in gross profit terms, which is important to note)

Let's re-evaluate the ROI calculation, as typically ROI is calculated on the net revenue increase over the cost of investment. Often, SEO ROI models consider the gross revenue impact against the cost, or factor in the profit margin to get to net profit. The user asked for "revenue impact" and "ROI forecast".

If we consider the total revenue generated and subtract the cost, and then

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Built with PantheraHive BOS

) } export default App "); zip.file(folder+"src/index.css","*{margin:0;padding:0;box-sizing:border-box} body{font-family:system-ui,-apple-system,sans-serif;background:#f0f2f5;color:#1a1a2e} .app{min-height:100vh;display:flex;flex-direction:column} .app-header{flex:1;display:flex;flex-direction:column;align-items:center;justify-content:center;gap:12px;padding:40px} h1{font-size:2.5rem;font-weight:700} "); zip.file(folder+"src/App.css",""); zip.file(folder+"src/components/.gitkeep",""); zip.file(folder+"src/pages/.gitkeep",""); zip.file(folder+"src/hooks/.gitkeep",""); Object.keys(extracted).forEach(function(p){ var fp=p.startsWith("src/")?p:"src/"+p; zip.file(folder+fp,extracted[p]); }); zip.file(folder+"README.md","# "+slugTitle(pn)+" Generated by PantheraHive BOS. ## Setup ```bash npm install npm run dev ``` ## Build ```bash npm run build ``` ## Open in IDE Open the project folder in VS Code or WebStorm. "); zip.file(folder+".gitignore","node_modules/ dist/ .env .DS_Store *.local "); } /* --- Vue (Vite + Composition API + TypeScript) --- */ function buildVue(zip,folder,app,code,panelTxt){ var pn=pkgName(app); var C=cc(pn); var extracted=extractCode(panelTxt); zip.file(folder+"package.json",'{ "name": "'+pn+'", "version": "0.0.0", "type": "module", "scripts": { "dev": "vite", "build": "vue-tsc -b && vite build", "preview": "vite preview" }, "dependencies": { "vue": "^3.5.13", "vue-router": "^4.4.5", "pinia": "^2.3.0", "axios": "^1.7.9" }, "devDependencies": { "@vitejs/plugin-vue": "^5.2.1", "typescript": "~5.7.3", "vite": "^6.0.5", "vue-tsc": "^2.2.0" } } '); zip.file(folder+"vite.config.ts","import { defineConfig } from 'vite' import vue from '@vitejs/plugin-vue' import { resolve } from 'path' export default defineConfig({ plugins: [vue()], resolve: { alias: { '@': resolve(__dirname,'src') } } }) "); zip.file(folder+"tsconfig.json",'{"files":[],"references":[{"path":"./tsconfig.app.json"},{"path":"./tsconfig.node.json"}]} '); zip.file(folder+"tsconfig.app.json",'{ "compilerOptions":{ "target":"ES2020","useDefineForClassFields":true,"module":"ESNext","lib":["ES2020","DOM","DOM.Iterable"], "skipLibCheck":true,"moduleResolution":"bundler","allowImportingTsExtensions":true, "isolatedModules":true,"moduleDetection":"force","noEmit":true,"jsxImportSource":"vue", "strict":true,"paths":{"@/*":["./src/*"]} }, "include":["src/**/*.ts","src/**/*.d.ts","src/**/*.tsx","src/**/*.vue"] } '); zip.file(folder+"env.d.ts","/// "); zip.file(folder+"index.html"," "+slugTitle(pn)+"
"); var hasMain=Object.keys(extracted).some(function(k){return k==="src/main.ts"||k==="main.ts";}); if(!hasMain) zip.file(folder+"src/main.ts","import { createApp } from 'vue' import { createPinia } from 'pinia' import App from './App.vue' import './assets/main.css' const app = createApp(App) app.use(createPinia()) app.mount('#app') "); var hasApp=Object.keys(extracted).some(function(k){return k.indexOf("App.vue")>=0;}); if(!hasApp) zip.file(folder+"src/App.vue"," "); zip.file(folder+"src/assets/main.css","*{margin:0;padding:0;box-sizing:border-box}body{font-family:system-ui,sans-serif;background:#fff;color:#213547} "); zip.file(folder+"src/components/.gitkeep",""); zip.file(folder+"src/views/.gitkeep",""); zip.file(folder+"src/stores/.gitkeep",""); Object.keys(extracted).forEach(function(p){ var fp=p.startsWith("src/")?p:"src/"+p; zip.file(folder+fp,extracted[p]); }); zip.file(folder+"README.md","# "+slugTitle(pn)+" Generated by PantheraHive BOS. ## Setup ```bash npm install npm run dev ``` ## Build ```bash npm run build ``` Open in VS Code or WebStorm. "); zip.file(folder+".gitignore","node_modules/ dist/ .env .DS_Store *.local "); } /* --- Angular (v19 standalone) --- */ function buildAngular(zip,folder,app,code,panelTxt){ var pn=pkgName(app); var C=cc(pn); var sel=pn.replace(/_/g,"-"); var extracted=extractCode(panelTxt); zip.file(folder+"package.json",'{ "name": "'+pn+'", "version": "0.0.0", "scripts": { "ng": "ng", "start": "ng serve", "build": "ng build", "test": "ng test" }, "dependencies": { "@angular/animations": "^19.0.0", "@angular/common": "^19.0.0", "@angular/compiler": "^19.0.0", "@angular/core": "^19.0.0", "@angular/forms": "^19.0.0", "@angular/platform-browser": "^19.0.0", "@angular/platform-browser-dynamic": "^19.0.0", "@angular/router": "^19.0.0", "rxjs": "~7.8.0", "tslib": "^2.3.0", "zone.js": "~0.15.0" }, "devDependencies": { "@angular-devkit/build-angular": "^19.0.0", "@angular/cli": "^19.0.0", "@angular/compiler-cli": "^19.0.0", "typescript": "~5.6.0" } } '); zip.file(folder+"angular.json",'{ "$schema": "./node_modules/@angular/cli/lib/config/schema.json", "version": 1, "newProjectRoot": "projects", "projects": { "'+pn+'": { "projectType": "application", "root": "", "sourceRoot": "src", "prefix": "app", "architect": { "build": { "builder": "@angular-devkit/build-angular:application", "options": { "outputPath": "dist/'+pn+'", "index": "src/index.html", "browser": "src/main.ts", "tsConfig": "tsconfig.app.json", "styles": ["src/styles.css"], "scripts": [] } }, "serve": {"builder":"@angular-devkit/build-angular:dev-server","configurations":{"production":{"buildTarget":"'+pn+':build:production"},"development":{"buildTarget":"'+pn+':build:development"}},"defaultConfiguration":"development"} } } } } '); zip.file(folder+"tsconfig.json",'{ "compileOnSave": false, "compilerOptions": {"baseUrl":"./","outDir":"./dist/out-tsc","forceConsistentCasingInFileNames":true,"strict":true,"noImplicitOverride":true,"noPropertyAccessFromIndexSignature":true,"noImplicitReturns":true,"noFallthroughCasesInSwitch":true,"paths":{"@/*":["src/*"]},"skipLibCheck":true,"esModuleInterop":true,"sourceMap":true,"declaration":false,"experimentalDecorators":true,"moduleResolution":"bundler","importHelpers":true,"target":"ES2022","module":"ES2022","useDefineForClassFields":false,"lib":["ES2022","dom"]}, "references":[{"path":"./tsconfig.app.json"}] } '); zip.file(folder+"tsconfig.app.json",'{ "extends":"./tsconfig.json", "compilerOptions":{"outDir":"./dist/out-tsc","types":[]}, "files":["src/main.ts"], "include":["src/**/*.d.ts"] } '); zip.file(folder+"src/index.html"," "+slugTitle(pn)+" "); zip.file(folder+"src/main.ts","import { bootstrapApplication } from '@angular/platform-browser'; import { appConfig } from './app/app.config'; import { AppComponent } from './app/app.component'; bootstrapApplication(AppComponent, appConfig) .catch(err => console.error(err)); "); zip.file(folder+"src/styles.css","* { margin: 0; padding: 0; box-sizing: border-box; } body { font-family: system-ui, -apple-system, sans-serif; background: #f9fafb; color: #111827; } "); var hasComp=Object.keys(extracted).some(function(k){return k.indexOf("app.component")>=0;}); if(!hasComp){ zip.file(folder+"src/app/app.component.ts","import { Component } from '@angular/core'; import { RouterOutlet } from '@angular/router'; @Component({ selector: 'app-root', standalone: true, imports: [RouterOutlet], templateUrl: './app.component.html', styleUrl: './app.component.css' }) export class AppComponent { title = '"+pn+"'; } "); zip.file(folder+"src/app/app.component.html","

"+slugTitle(pn)+"

Built with PantheraHive BOS

"); zip.file(folder+"src/app/app.component.css",".app-header{display:flex;flex-direction:column;align-items:center;justify-content:center;min-height:60vh;gap:16px}h1{font-size:2.5rem;font-weight:700;color:#6366f1} "); } zip.file(folder+"src/app/app.config.ts","import { ApplicationConfig, provideZoneChangeDetection } from '@angular/core'; import { provideRouter } from '@angular/router'; import { routes } from './app.routes'; export const appConfig: ApplicationConfig = { providers: [ provideZoneChangeDetection({ eventCoalescing: true }), provideRouter(routes) ] }; "); zip.file(folder+"src/app/app.routes.ts","import { Routes } from '@angular/router'; export const routes: Routes = []; "); Object.keys(extracted).forEach(function(p){ var fp=p.startsWith("src/")?p:"src/"+p; zip.file(folder+fp,extracted[p]); }); zip.file(folder+"README.md","# "+slugTitle(pn)+" Generated by PantheraHive BOS. ## Setup ```bash npm install ng serve # or: npm start ``` ## Build ```bash ng build ``` Open in VS Code with Angular Language Service extension. "); zip.file(folder+".gitignore","node_modules/ dist/ .env .DS_Store *.local .angular/ "); } /* --- Python --- */ function buildPython(zip,folder,app,code){ var title=slugTitle(app); var pn=pkgName(app); var src=code.replace(/^```[w]* ?/m,"").replace(/ ?```$/m,"").trim(); var reqMap={"numpy":"numpy","pandas":"pandas","sklearn":"scikit-learn","tensorflow":"tensorflow","torch":"torch","flask":"flask","fastapi":"fastapi","uvicorn":"uvicorn","requests":"requests","sqlalchemy":"sqlalchemy","pydantic":"pydantic","dotenv":"python-dotenv","PIL":"Pillow","cv2":"opencv-python","matplotlib":"matplotlib","seaborn":"seaborn","scipy":"scipy"}; var reqs=[]; Object.keys(reqMap).forEach(function(k){if(src.indexOf("import "+k)>=0||src.indexOf("from "+k)>=0)reqs.push(reqMap[k]);}); var reqsTxt=reqs.length?reqs.join(" "):"# add dependencies here "; zip.file(folder+"main.py",src||"# "+title+" # Generated by PantheraHive BOS print(title+" loaded") "); zip.file(folder+"requirements.txt",reqsTxt); zip.file(folder+".env.example","# Environment variables "); zip.file(folder+"README.md","# "+title+" Generated by PantheraHive BOS. ## Setup ```bash python3 -m venv .venv source .venv/bin/activate pip install -r requirements.txt ``` ## Run ```bash python main.py ``` "); zip.file(folder+".gitignore",".venv/ __pycache__/ *.pyc .env .DS_Store "); } /* --- Node.js --- */ function buildNode(zip,folder,app,code){ var title=slugTitle(app); var pn=pkgName(app); var src=code.replace(/^```[w]* ?/m,"").replace(/ ?```$/m,"").trim(); var depMap={"mongoose":"^8.0.0","dotenv":"^16.4.5","axios":"^1.7.9","cors":"^2.8.5","bcryptjs":"^2.4.3","jsonwebtoken":"^9.0.2","socket.io":"^4.7.4","uuid":"^9.0.1","zod":"^3.22.4","express":"^4.18.2"}; var deps={}; Object.keys(depMap).forEach(function(k){if(src.indexOf(k)>=0)deps[k]=depMap[k];}); if(!deps["express"])deps["express"]="^4.18.2"; var pkgJson=JSON.stringify({"name":pn,"version":"1.0.0","main":"src/index.js","scripts":{"start":"node src/index.js","dev":"nodemon src/index.js"},"dependencies":deps,"devDependencies":{"nodemon":"^3.0.3"}},null,2)+" "; zip.file(folder+"package.json",pkgJson); var fallback="const express=require("express"); const app=express(); app.use(express.json()); app.get("/",(req,res)=>{ res.json({message:""+title+" API"}); }); const PORT=process.env.PORT||3000; app.listen(PORT,()=>console.log("Server on port "+PORT)); "; zip.file(folder+"src/index.js",src||fallback); zip.file(folder+".env.example","PORT=3000 "); zip.file(folder+".gitignore","node_modules/ .env .DS_Store "); zip.file(folder+"README.md","# "+title+" Generated by PantheraHive BOS. ## Setup ```bash npm install ``` ## Run ```bash npm run dev ``` "); } /* --- Vanilla HTML --- */ function buildVanillaHtml(zip,folder,app,code){ var title=slugTitle(app); var isFullDoc=code.trim().toLowerCase().indexOf("=0||code.trim().toLowerCase().indexOf("=0; var indexHtml=isFullDoc?code:" "+title+" "+code+" "; zip.file(folder+"index.html",indexHtml); zip.file(folder+"style.css","/* "+title+" — styles */ *{margin:0;padding:0;box-sizing:border-box} body{font-family:system-ui,-apple-system,sans-serif;background:#fff;color:#1a1a2e} "); zip.file(folder+"script.js","/* "+title+" — scripts */ "); zip.file(folder+"assets/.gitkeep",""); zip.file(folder+"README.md","# "+title+" Generated by PantheraHive BOS. ## Open Double-click `index.html` in your browser. Or serve locally: ```bash npx serve . # or python3 -m http.server 3000 ``` "); zip.file(folder+".gitignore",".DS_Store node_modules/ .env "); } /* ===== MAIN ===== */ var sc=document.createElement("script"); sc.src="https://cdnjs.cloudflare.com/ajax/libs/jszip/3.10.1/jszip.min.js"; sc.onerror=function(){ if(lbl)lbl.textContent="Download ZIP"; alert("JSZip load failed — check connection."); }; sc.onload=function(){ var zip=new JSZip(); var base=(_phFname||"output").replace(/.[^.]+$/,""); var app=base.toLowerCase().replace(/[^a-z0-9]+/g,"_").replace(/^_+|_+$/g,"")||"my_app"; var folder=app+"/"; var vc=document.getElementById("panel-content"); var panelTxt=vc?(vc.innerText||vc.textContent||""):""; var lang=detectLang(_phCode,panelTxt); if(_phIsHtml){ buildVanillaHtml(zip,folder,app,_phCode); } else if(lang==="flutter"){ buildFlutter(zip,folder,app,_phCode,panelTxt); } else if(lang==="react-native"){ buildReactNative(zip,folder,app,_phCode,panelTxt); } else if(lang==="swift"){ buildSwift(zip,folder,app,_phCode,panelTxt); } else if(lang==="kotlin"){ buildKotlin(zip,folder,app,_phCode,panelTxt); } else if(lang==="react"){ buildReact(zip,folder,app,_phCode,panelTxt); } else if(lang==="vue"){ buildVue(zip,folder,app,_phCode,panelTxt); } else if(lang==="angular"){ buildAngular(zip,folder,app,_phCode,panelTxt); } else if(lang==="python"){ buildPython(zip,folder,app,_phCode); } else if(lang==="node"){ buildNode(zip,folder,app,_phCode); } else { /* Document/content workflow */ var title=app.replace(/_/g," "); var md=_phAll||_phCode||panelTxt||"No content"; zip.file(folder+app+".md",md); var h=""+title+""; h+="

"+title+"

"; var hc=md.replace(/&/g,"&").replace(//g,">"); hc=hc.replace(/^### (.+)$/gm,"

$1

"); hc=hc.replace(/^## (.+)$/gm,"

$1

"); hc=hc.replace(/^# (.+)$/gm,"

$1

"); hc=hc.replace(/**(.+?)**/g,"$1"); hc=hc.replace(/ {2,}/g,"

"); h+="

"+hc+"

Generated by PantheraHive BOS
"; zip.file(folder+app+".html",h); zip.file(folder+"README.md","# "+title+" Generated by PantheraHive BOS. Files: - "+app+".md (Markdown) - "+app+".html (styled HTML) "); } zip.generateAsync({type:"blob"}).then(function(blob){ var a=document.createElement("a"); a.href=URL.createObjectURL(blob); a.download=app+".zip"; a.click(); URL.revokeObjectURL(a.href); if(lbl)lbl.textContent="Download ZIP"; }); }; document.head.appendChild(sc); }function phShare(){navigator.clipboard.writeText(window.location.href).then(function(){var el=document.getElementById("ph-share-lbl");if(el){el.textContent="Link copied!";setTimeout(function(){el.textContent="Copy share link";},2500);}});}function phEmbed(){var runId=window.location.pathname.split("/").pop().replace(".html","");var embedUrl="https://pantherahive.com/embed/"+runId;var code='';navigator.clipboard.writeText(code).then(function(){var el=document.getElementById("ph-embed-lbl");if(el){el.textContent="Embed code copied!";setTimeout(function(){el.textContent="Get Embed Code";},2500);}});}